Hodnocení finanční výkonnosti vybraného podniku pokročilými metodami

Abstract

The thesis aims to evaluate the financial performance of the selected company with advanced methods during the years 2016-2020, using static and dynamic analysis of deviations for the indicator of economic added value. The chosen company belongs to the production of basic metals, metallurgical processing of metals and foundry. The work is divided into five chapters, including the introduction and conclusion. The second chapter is devoted to theoretical knowledge. The terms like performance, financial analysis and aggregated models of financial level assessment are explained here. Following are characteristics of economic added value and ways of calculating the cost of capital. The conclusion of the second chapter is devoted to pyramidal decomposition, decomposition methods for multiplicative relation and dynamic variance analysis. The third chapter deals with practical applications. First, the company is briefly introduced. It is followed by a horizontal and vertical analysis of the particular statements, a calculation of the ratio indicators and an evaluation of the financial level of the business according to the selected models. Other subchapters determine the cost of capital and calculation of economic added value. Static and dynamic analysis of deviations is applied to the indicators of absolute and relative economic value added. The final point of the chapter is devoted to the comparison with the comparable industry sector. The content of the fourth chapter is an assessment of the results achieved in the previous chapter. It was found the company's finance is stable with a low probability of bankruptcy. The economic value added was negative in 2016-2017 and positive in 2018-2020. According to the dynamic analysis, the indicator profitability of sales (EBIT/T) has the greatest positive impact, and the greatest negative impact has the indicator cost of equity (Re). The company achieved better results in profitability and liquidity compared to the sector. The company's indebtedness is lower than in the sector.

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Subject(s)

financial performance, static and dynamic analysis, economic added value, financial analysis, aggregated models of financial level assessment, pyramidal decomposition, Altman's model, Ohlson's model, Zmijewski's model, Index IN, spider graf

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